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What you need to know about Machine Learning
Machine Learning is a branch of artificial intelligence that enables computer systems to learn from data and improve without direct human intervention. Machine Learning uses algorithms and statistical models to detect patterns, make predictions, or offer recommendations. It can work in different ways: with supervised learning, where the model is trained on labeled data to predict specific outcomes, with unsupervised learning, where it explores unlabeled data to identify structures or groupings, or with reinforcement learning, where the system learns through trial and error to maximize a reward. This technology is used in many sectors, such as image recognition, virtual assistants, recommendation systems, or industrial automation, and it plays a key role in data exploitation and technological innovation.
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Job Vacancy
Data Analyst
Position Overview We are looking for a meticulous and analytical Data Analyst to join our team in the rapidly expanding electric mobility sector. In this role, you will transform raw data into meaningful insights that enhance network efficiency, user satisfaction, and operational performance. This opportunity is perfect for someone passionate about sustainability, clean energy, and leveraging data to guide business decisions. Key Duties Gather, clean, and analyze information from charging infrastructure, apps, user behavior, and operational systems. Create dashboards and reports to monitor key performance indicators, including usage patterns, uptime, revenue, utilization, and customer trends. Detect trends in energy use, station performance, and demand to support strategic initiatives. Offer recommendations to improve charger placement, energy management, and preventive maintenance. Work closely with operations, product, engineering, and business teams to drive data-informed projects. Perform targeted analyzes to inform new features, pricing strategies, and growth opportunities. Maintain data accuracy, integrity, and compliance with security and privacy regulations. Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related field (Master's degree preferred). 2+ years in a data analysis or similar role (experience in energy, EVs, or mobility is a plus). Skilled in SQL, Python/R, and visualization tools such as Power BI, Tableau, or Looker. Strong analytical abilities with experience in forecasting, statistical modeling, or machine learning. Familiarity with energy, IoT, or mobility datasets is advantageous. Excellent problem-solving and communication skills, able to translate complex data into actionable insights. What We Provide A chance to contribute to the clean mobility movement. Competitive compensation and benefits. A collaborative, mission-focused work environment. Opportunities for career development in a fast-growing industry.
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Contract roles and jobs for Machine Learning
Data Scientist
The Data Scientist uses Machine Learning to develop predictive models based on complex data.
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The Data Analyst uses Machine Learning to automate data exploration and identify key trends.
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Find out the jobsAI/Machine Learning Developer
The AI/Machine Learning Developer specializes in creating machine learning models to solve complex problems such as image recognition, natural language processing, or data prediction.
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Find out the jobsR&D Engineer
The R&D Engineer designs and develops innovative solutions using Machine Learning techniques to enhance products or processes within an organization.
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Find out the jobsData Developer (BI / Big Data / Data Engineer)
The Data Developer (Business Intelligence/BI/Big Data/Data Engineer) implements machine learning models in data pipelines to extract useful insights and optimize decision-making processes.
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